UFAF010 Thermodynamics and Statistical Physics

Faculty of Philosophy and Science in Opava
Winter 2022
Extent and Intensity
3/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Martin Blaschke, Ph.D. (lecturer)
RNDr. Martin Blaschke, Ph.D. (seminar tutor)
Guaranteed by
prof. Ing. Peter Lichard, DrSc.
Centrum interdisciplinárních studií – Faculty of Philosophy and Science in Opava
Timetable
Mon 14:15–16:40 B4
  • Timetable of Seminar Groups:
UFAF010/A: Wed 14:45–16:20 B4, M. Blaschke
Prerequisites
Basic knowledge of the mechanics (also analytical), molecular physics and quantum mechanics.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Students will learn about the principles and methods of thermodynamics and statistical physics (both classical and quantal) and about their applying especially in astrophysics and particle physics.
Learning outcomes
The student should master: basic knowledge of four thermodynamic laws and their consequences: non-existence of Perpetuum mobile of I and II type, unreachability of zero absolute temperature, maximum possible efficiency of heat engines. Understand the meaning of the concept of entropy and its relationship to information. Understand and appreciate the significance and power of the atomic theory of matter. Understand phase processes.
Syllabus
  • Basic concepts and postulates of thermodynamics. Equations of state. Zero law thermodynamics. Internal energy and its changes.

    I. law of thermodynamics. Heat capacities C_p and C_V and the relationship between them. Mayer's relationship. Work ideal gas in various reversible processes. Carnot cycle, Carnot theorem, Clausian equation. Thermodynamic temperature scale. Differential forms.

    II. law of thermodynamics, its physical content and various formulations. Entropy. Thermodynamic potentials, Maxwell's relations.

    Components and phases, phase diagrams of one-component systems. Coexistence curve, triple point, critical point. Clapeyron's equation and equations derived from it. Gibbs phase rule. Classification of phase transitions. III. law of thermodynamics, Nernst, Simon and Falk's formulations. Reversible and irreversible events. Law growth of entropy.

    Basic concepts of classical statistical physics. Canonical phase volume invariance, Liouville's theorem. Ergodic hypothesis. Basic concepts of quantum statistical physics. Density operator and matrix, quantum Liouville's theorem. Microcanonical ensemble. Boltzmann's relationship for entropy. Gibbs canonical distribution, Maxwell-Boltzmann's law speed distribution. Grand canonical division. Ideal gases of bosons and fermions. Bose-Einstein and Fermi-Dirac distributions.
Literature
    recommended literature
  • Kvasnica, J. Statistická fyzika. Academia, Praha, 1998. ISBN 80-200-0676-1. info
  • Čulík F., Noga M. Úvod do štatistickej fyziky a termodynamiky. Alfa, Bratislava, 1993. info
  • Kvasnica, J. Termodynamika. SNTL Praha, 1965. info
    not specified
  • Atkins, P., de Paula, L. Fyzikální chemie. Praha, 2013. ISBN 978-80-7080-830-6. info
  • Reif F. Fundamentals of Statistical and Thermal Physics. McGraw-Hill, 1965. info
Teaching methods
Lectures, tutorial sessions, regularly assigned and evaluated home tasks.
Assessment methods
Credit
Active participation on tutorial sessions and the timely completion of home tasks is required. Detailed criteria will be announced by the tutorial lecturer. The exam consists of the main written part and a supplemental oral part.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
Teacher's information
The attending of lectures is recommended, that of tutorial sessions is
compulsory. If a student was absent for serious reasons, the teacher may
prescribe him/her an alternative way of fulfilling the duties.
The course is also listed under the following terms Winter 2016, Winter 2017, Winter 2018, Winter 2019, Winter 2020, Winter 2021, Winter 2023.
  • Enrolment Statistics (Winter 2022, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2022/UFAF010